Reasons for a differing impact of artificial intelligence on pediatric neuroradiology compared with adult neuroradiology

  • Lower number of pediatric neuroradiologists

  • High degree of subspecialization

  • Rapid evolution of the field with an evolving understanding of the molecular and genetic underpinnings of disorders

  • Wide spectrum of neurologic disorders in the pediatric age range

  • Differing neuroimaging manifestations of disorders depending on age

  • Small sample sizes of rare neuropediatric disorders, especially when considering subcategories/molecular subtypes

  • More rare and orphan diseases in the pediatric age range

  • Rapid evolution of targeted therapeutic approaches for precision child health